Abstract
With the emergence of the cloud computing paradigm, important issues have arisen, which need to be addressed to widen cloud computing adoption. It relates technical, legal and economic issues between cloud service providers and users to the societal and technological aspects articulated around the cloud security ecosystem. This is, some extent, due the lack of transparency and of control that potential cloud customers will perceive if they replace traditional models with cloud models. This research revolves around the investigation to identify the key parameters to select the right cloud service provider using the cosine maximization method. The service parameter priority played an important role while selecting the right cloud services and measured the overall services of the cloud. In this paper, we proposed a model to identify the ranking of cloud parameters to interact the cloud services to estimate the reliable priority vectors in a cloud selection. The pairwise comparison matrix has been used to solve the optimization nonlinear model. The results show the advantage of selection method based on cosine maximization approach.